| Experimental characterization and inverse constitutive parameters identification of tubular materials for tube hydroforming process T Zribi, A Khalfallah, H BelHadjSalah Materials & Design 49, 866-877, 2013 | 70 | 2013 |
| Anisotropic parameter identification using inhomogeneous tensile test A Khalfallah, HBH Salah, A Dogui European Journal of Mechanics-A/Solids 21 (6), 927-942, 2002 | 66 | 2002 |
| Experimental and numerical assessment of mechanical properties of welded tubes for hydroforming A Khalfallah Materials & Design (1980-2015) 56, 782-790, 2014 | 47 | 2014 |
| Mechanical characterization and constitutive parameter identification of anisotropic tubular materials for hydroforming applications A Khalfallah, MC Oliveira, JL Alves, T Zribi, H Belhadjsalah, LF Menezes International Journal of Mechanical Sciences 104, 91-103, 2015 | 35 | 2015 |
| Mechanical design of ring tensile specimen via surrogate modelling for inverse material parameter identification Z Ktari, C Leitao, PA Prates, A Khalfallah Mechanics of Materials 153, 103673, 2021 | 25 | 2021 |
| Influence of the characteristics of the experimental data set used to identify anisotropy parameters A Khalfallah, JL Alves, MC Oliveira, LF Menezes Simulation Modelling Practice and Theory 53, 15-44, 2015 | 25 | 2015 |
| Effect of SiN Treatment on Optical Properties of In x Ga1−x N/GaN MQW Blue LEDs Z Benzarti, T Sekrafi, Z Bougrioua, A Khalfallah, B El Jani Journal of Electronic Materials 46, 4312-4320, 2017 | 19 | 2017 |
| Constitutive parameter identification of CB2001 yield function and its experimental verification using tube hydroforming tests A Khalfallah, MC Oliveira, JL Alves, LF Menezes International Journal of Mechanical Sciences 185, 105868, 2020 | 18 | 2020 |
| Inverse method for flow stress parameters identification of tube bulge hydroforming considering anisotropy T Zribi, A Khalfallah, H Belhadjsalah International Journal of Mechatronics and Manufacturing Systems 4 (5), 441-453, 2011 | 14 | 2011 |
| New mandrel design for ring hoop tensile testing A Khalfallah, Z Ktari, C Leitão, JV Fernandes Experimental Techniques, 1-19, 2021 | 13 | 2021 |
| Comparative study on the nanomechanical behavior and physical properties influenced by the epitaxial growth mechanisms of GaN thin films N Boughrara, Z Benzarti, A Khalfallah, M Evaristo, A Cavaleiro Applied Surface Science 579, 152188, 2022 | 12 | 2022 |
| Growth temperature effect on physical and mechanical properties of nitrogen rich InN epilayers Z Benzarti, T Sekrafi, A Khalfallah, Z Bougrioua, D Vignaud, M Evaristo, ... Journal of Alloys and Compounds 885, 160951, 2021 | 12 | 2021 |
| Identification des lois de comportement élastoplastiques par essais inhomogènes et simulations numériques A Khalfallah PQDT-Global, 2004 | 11 | 2004 |
| Thickness-dependent physical and nanomechanical properties of AlxGa1− xN thin films N Boughrara, Z Benzarti, A Khalfallah, JC Oliveira, M Evaristo, ... Materials Science in Semiconductor Processing 151, 107023, 2022 | 7 | 2022 |
| Thermo-mechanical modelling of the Friction Stir Spot Welding process: Effect of the friction models on the heat generation mechanisms N Hannachi, A Khalfallah, C Leitão, D Rodrigues Proceedings of the Institution of Mechanical Engineers, Part L: Journal of …, 2022 | 7 | 2022 |
| Comparative fracture prediction study for two materials under a wide range of stress states using seven uncoupled models M Nouira, MC Oliveira, A Khalfallah, JL Alves, LF Menezes Engineering Fracture Mechanics 279, 108952, 2023 | 6 | 2023 |
| Assessment of refractive index changes by spectral reflectance in the first stages of AlxGa1−xN layer growth using SiN treatment Z Benzarti, M Khelifi, A Khalfallah, B El Jani Journal of Materials Science: Materials in Electronics 27, 6336-6346, 2016 | 6 | 2016 |
| A comparative study of the identification methods for tube hydroforming process T Zribi, A Khalfallah, HB Salah Key Engineering Materials 651, 169-174, 2015 | 6 | 2015 |
| Application of tube hydroforming in square cross-section die for inverse identification method validation A Khalfallah, T Zribi, HB Salah Key Engineering Materials 554, 966-973, 2013 | 6 | 2013 |
| Machine learning for predicting fracture strain in sheet metal forming AE Marques, MA Dib, A Khalfallah, MS Soares, MC Oliveira, ... Metals 12 (11), 1799, 2022 | 5 | 2022 |
Marta C. OliveiraCEMMPRE, Centre for Mechanical Engineering, Materials and ProcessesBestätigte E-Mail-Adresse bei dem.uc.pt
